Why It’s Important
Reference architectures from vendors that simplify AI deployment and management help reduce the burden on IT teams and allow them to focus on higher-level strategic initiatives. They also provide unified dashboards for monitoring and managing the entire AI infrastructure.
Enterprises must select the appropriate platforms with efficient AI to analyse data across domains and achieve real-time visibility, insights, and actions. It should facilitate scaling and automating AI clusters and simplify troubleshooting to better adapt to changing workloads and data demands and resolve issues much faster to reduce downtime.
Who’s Impacted
- AI and data science teams
- Development teams
What’s Next?
- Consider jointly validated reference architectures that make deploying and managing AI clusters at any scale straightforward to cover virtualised, containerised, converged, and hyperconverged environments.
Related IBRS Advisory
1. VENDORiQ: VMware and Nvidia Collaborate to Produce Software for On-Premise Generative AI Development